Advancing cerumen analysis: exploring innovative vibrational spectroscopy techniques with respect to their potential as new point-of-care diagnostic tools†

IF 3.6 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Analyst Pub Date : 2024-09-18 DOI:10.1039/D4AN00868E
Edoardo Farnesi, Matteo Calvarese, Chen Liu, Carl Messerschmidt, MohammadSadegh Vafaeinezhad, Tobias Meyer-Zedler, Dana Cialla-May, Christoph Krafft, Jonas Ballmaier, Orlando Guntinas-Lichius, Michael Schmitt and Jürgen Popp
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Abstract

Cerumen, commonly known as earwax, is a complex mixture composed of secretions from ceruminous glands. These secretions are heterogeneous mixtures mainly composed of lipids and proteins. Despite its prevalence, the potential diagnostic value of cerumen remains largely unexplored. Here, we present an in-depth analysis of cerumen utilizing well-known vibrational approaches such as conventional Raman spectroscopy or surface-enhanced Raman spectroscopy (SERS) together with advanced vibrational spectroscopy techniques such as coherent Raman scattering (CRS), i.e. broadband coherent anti-Stokes Raman scattering (CARS) or stimulated Raman scattering (SRS), as well as optical photothermal infrared (OPTIR) spectroscopy. Through the integration of these vibrational spectroscopic methods, lipids and proteins can be identified as the main components of cerumen; however, they contribute to the final spectral information to various extents depending on the vibrational detection scheme applied. The inherently weak Raman signal could be enhanced by linear (SERS) and non-linear (CRS) processes, resulting in efficient acquisition of fingerprint information and allowing for the detection of marker modes, which cannot be addressed by conventional Raman spectroscopy. OPTIR spectroscopy provides complementary information to Raman spectroscopy, however, without the contribution of a fluorescence background. Our findings underscore the utility of these cutting-edge techniques in unveiling the intricate molecular landscape of cerumen, paving the way for novel point-of-care diagnostic methodologies and therapeutic interventions.

Abstract Image

推进耵聍分析:探索创新振动光谱技术作为新的护理点诊断工具的潜力
耵聍俗称耳屎,是由耵聍腺分泌物组成的复杂混合物。这些分泌物被称为异质混合物,主要由脂类和蛋白质组成。尽管耵聍普遍存在,但其潜在的诊断价值在很大程度上仍有待探索。在这里,我们利用传统拉曼光谱或表面增强拉曼光谱(SERS)等著名的振动方法,以及相干拉曼散射(CRS)方法(即宽带相干反斯托克斯拉曼散射(CARS)或受激拉曼散射(SRS))和光学光热红外光谱(OPTIR)等先进的振动光谱技术,对耵聍进行了深入分析。通过整合这些振动光谱方法,可以确定脂质和蛋白质是耵聍的主要成分;不过,它们对最终光谱信息的贡献程度不同,这取决于所采用的振动检测方案。固有的微弱拉曼信号可以通过线性(SERS)和非线性(CRS)过程得到增强,从而有效地获取指纹信息,并允许对传统拉曼无法解决的标记模式进行检测。然而,OPTIR 可提供拉曼光谱的补充信息,而不会产生荧光背景。我们的研究结果强调了这些尖端技术在揭示耵聍错综复杂的分子结构方面的实用性,为新型护理点诊断方法和治疗干预铺平了道路。
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来源期刊
Analyst
Analyst 化学-分析化学
CiteScore
7.80
自引率
4.80%
发文量
636
审稿时长
1.9 months
期刊介绍: The home of premier fundamental discoveries, inventions and applications in the analytical and bioanalytical sciences
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